Machine learning is enabling researchers to analyze and understand increasingly complex
physical and biological phenomena in traditional fields such as biology, medicine, and …

Deep learning is a subfield of machine learning that considers computational models with
multiple processing layers [1, 3, 6]. At the core of all deep learning approaches lies …

Funding: AG was funded by the National Science Foundation (DBI 1553206) and National
Institutes of Health (R01GM135631). CSG was funded by the National Institutes of Health …

Deep learning has already achieved remarkable results in many fields. Now it's making
waves throughout the sciences broadly and the life sciences in particular. This practical …

The biological data science is characterized by a massive amount of data from
heterogeneous sources. How to decipher complex relationships among heterogeneous …

Deep learning is the trendiest tool in a computational biologist's toolbox. This exciting class
of methods, based on artificial neural networks, quickly became popular due to its …

With the evolution of biotechnology and the introduction of the high throughput sequencing,
researchers have the ability to produce and analyze vast amounts of genomics data. Since …

To understand the intricacies of microorganisms at the molecular level requires making
sense of copious volumes of data such that it may now be humanly impossible to detect …

As computing devices proliferate, demand increases for an understanding of emerging
computing paradigms and models based on natural phenomena. Neural networks, evolution …

Rapid advances in biological research over recent years have significantly enriched
biological and medical data resources. Deep learning-based techniques have been …